Browsing Department of Chemical Engineering by Subject "Data models"

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Inferential Sensing of Output Quality in Petroleum Refinery Using Principal Component Regression and Support Vector Regression

Pani, Ajaya Kumar (IEEE, 2017)

In this research, linear regression (ordinary least square and principal component) and non-linear regression (standard and least square support vector) models are developed for prediction of output quality from sulphur ...
Neural Network Soft Sensor Application in Cement Industry: Prediction of Clinker Quality Parameters

Pani, Ajaya Kumar; Mohanta, Hare Krishna (IEEE, 2011)

A soft sensor tries to estimate difficult to measure quality parameters from the knowledge of easy to measure online process variables. Empirical approach of soft sensor development has gained much popularity recently due ...

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